devinamhn

devinamhn's Stars

• facebookresearch/schedule_free

  Schedule-Free Optimization in PyTorch

  Language:Python2k69

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.7k1.4k

• probabilisticai/nordic-probai-2024

  Materials of the Nordic Probabilistic AI School 2024.

  Language:Jupyter Notebook5815

• paperswithcode/releasing-research-code

  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

  2.6k717

• xmindflow/Awesome-Foundation-Models-in-Medical-Imaging

  A curated list of foundation models for vision and language tasks in medical imaging

  23016

• YannDubs/Invariant-Self-Supervised-Learning

  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"

  Language:Python406

• mwalmsley/gz-list

  A list of all Galaxy Zoo repos on GitHub.

  4

• normal-computing/posteriors

  Uncertainty quantification with PyTorch

  Language:Python33214

• YannDubs/SSL-Risk-Decomposition

  Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".

  Language:Jupyter Notebook152

• facebookresearch/ijepa

  Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

  Language:Python2.9k365

• team-approx-bayes/ivon

  IVON optimizer for neural networks based on variational learning.

  Language:Python584

• mb010/Cata2Data

  Produce a loadable data set from a catalogue.

  Language:Jupyter Notebook55

• Feuermagier/Beyond_Deep_Ensembles

  Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

  Language:Jupyter Notebook213

• google-deepmind/uncertain_ground_truth

  Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).

  Language:Python63743

• fmporter/JBTreeA

  The academic family tree of all the current JBCA staff

  3

• nhartland/KL-divergence-estimators

  Testing methods for estimating KL-divergence from samples.

  Language:Python6219

• yiftachbeer/mmd_loss_pytorch

  An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.

  Language:Python302

• wetliu/energy_ood

  Language:Python40365

• mwalmsley/galaxy-datasets

  ML-friendly datasets of galaxy images and labels

  Language:Jupyter Notebook384

• mwalmsley/galaxy_mnist

  Galaxy images labelled by morphology (shape). Aimed at ML development and teaching.

  Language:Jupyter Notebook352

• inigoval/mightee_inference

  Language:Python11

• runame/laplace-refinement

  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks

  Language:Python9

• aleximmer/Laplace

  Laplace approximations for Deep Learning.

  Language:Python48175

• avehtari/PSIS

  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave

  Language:Python7527

• ManimCommunity/manim

  A community-maintained Python framework for creating mathematical animations.

  Language:Python28.5k2k

• mpagli/Agree-to-Disagree

  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"

  Language:Jupyter Notebook354

• yao-yl/Evaluating-Variational-Inference

  Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration

  Language:R122

• fmporter/MiraBest

  A batched dataset of FR galaxies from Miraghaei and Best 2017

  Language:Jupyter Notebook33

• fmporter/CRUMB

  Repository for the CRUMB dataset of FR galaxies

  Language:Jupyter Notebook2

• awslabs/fortuna

  A Library for Uncertainty Quantification.

  Language:Python89346